Overview

Dataset statistics

Number of variables17
Number of observations267751
Missing cells84142
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.7 MiB
Average record size in memory136.0 B

Variable types

Numeric5
Text8
Categorical3
DateTime1

Alerts

State is highly imbalanced (> 99.9%)Imbalance
Facility Type has 5119 (1.9%) missing valuesMissing
Violations has 73407 (27.4%) missing valuesMissing
Zip is highly skewed (γ1 = -111.2126359)Skewed
Inspection ID has unique valuesUnique

Reproduction

Analysis started2024-02-22 02:32:02.122920
Analysis finished2024-02-22 02:33:08.367401
Duration1 minute and 6.24 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Inspection ID
Real number (ℝ)

UNIQUE 

Distinct267751
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1730421.2
Minimum44247
Maximum2589714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 MiB
2024-02-21T21:33:08.478394image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum44247
5-th percentile327249.5
Q11307406.5
median1950942
Q32357112.5
95-th percentile2575903.5
Maximum2589714
Range2545467
Interquartile range (IQR)1049706

Descriptive statistics

Standard deviation719559.68
Coefficient of variation (CV)0.4158292
Kurtosis-0.65172413
Mean1730421.2
Median Absolute Deviation (MAD)547188
Skewness-0.62851911
Sum4.6332202 × 1011
Variance5.1776613 × 1011
MonotonicityNot monotonic
2024-02-21T21:33:08.629462image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2589679 1
 
< 0.1%
1522360 1
 
< 0.1%
1441701 1
 
< 0.1%
1527330 1
 
< 0.1%
1527259 1
 
< 0.1%
1516188 1
 
< 0.1%
1523155 1
 
< 0.1%
1385918 1
 
< 0.1%
1527795 1
 
< 0.1%
1386059 1
 
< 0.1%
Other values (267741) 267741
> 99.9%
ValueCountFrequency (%)
44247 1
< 0.1%
44248 1
< 0.1%
44249 1
< 0.1%
44250 1
< 0.1%
44251 1
< 0.1%
44252 1
< 0.1%
44253 1
< 0.1%
44254 1
< 0.1%
44255 1
< 0.1%
44256 1
< 0.1%
ValueCountFrequency (%)
2589714 1
< 0.1%
2589700 1
< 0.1%
2589699 1
< 0.1%
2589698 1
< 0.1%
2589695 1
< 0.1%
2589691 1
< 0.1%
2589684 1
< 0.1%
2589683 1
< 0.1%
2589682 1
< 0.1%
2589681 1
< 0.1%
Distinct32180
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
2024-02-21T21:33:08.879560image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length79
Median length49
Mean length18.732057
Min length1

Characters and Unicode

Total characters5015527
Distinct characters83
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5943 ?
Unique (%)2.2%

Sample

1st rowHOLY SMOQUES BBQ
2nd rowSMALL CHEVAL
3rd rowBARTOLI'S PIZZERIA
4th rowSEASHELL
5th rowJ & J FISH & CHICKEN
ValueCountFrequency (%)
inc 27088
 
3.3%
26509
 
3.3%
restaurant 15492
 
1.9%
food 11428
 
1.4%
the 10948
 
1.3%
cafe 8798
 
1.1%
chicago 7635
 
0.9%
grill 7329
 
0.9%
and 6539
 
0.8%
pizza 6471
 
0.8%
Other values (18949) 685836
84.2%
2024-02-21T21:33:09.319826image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
551655
 
11.0%
A 412346
 
8.2%
E 408546
 
8.1%
R 299532
 
6.0%
I 289512
 
5.8%
O 286584
 
5.7%
N 279206
 
5.6%
S 275782
 
5.5%
T 247632
 
4.9%
C 232708
 
4.6%
Other values (73) 1732024
34.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4054538
80.8%
Space Separator 551655
 
11.0%
Lowercase Letter 195373
 
3.9%
Other Punctuation 126789
 
2.5%
Decimal Number 74810
 
1.5%
Dash Punctuation 9060
 
0.2%
Open Punctuation 1465
 
< 0.1%
Close Punctuation 1465
 
< 0.1%
Math Symbol 337
 
< 0.1%
Connector Punctuation 18
 
< 0.1%
Other values (2) 17
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 412346
 
10.2%
E 408546
 
10.1%
R 299532
 
7.4%
I 289512
 
7.1%
O 286584
 
7.1%
N 279206
 
6.9%
S 275782
 
6.8%
T 247632
 
6.1%
C 232708
 
5.7%
L 214089
 
5.3%
Other values (16) 1108601
27.3%
Lowercase Letter
ValueCountFrequency (%)
e 23866
12.2%
a 21138
10.8%
o 16442
 
8.4%
n 15977
 
8.2%
r 15305
 
7.8%
i 13724
 
7.0%
l 12251
 
6.3%
t 12146
 
6.2%
s 10363
 
5.3%
c 8083
 
4.1%
Other values (16) 46078
23.6%
Other Punctuation
ValueCountFrequency (%)
' 41729
32.9%
. 24413
19.3%
& 21626
17.1%
, 17302
13.6%
# 15178
 
12.0%
/ 5054
 
4.0%
@ 1047
 
0.8%
! 311
 
0.2%
: 51
 
< 0.1%
? 50
 
< 0.1%
Other values (3) 28
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 11341
15.2%
1 11064
14.8%
3 9559
12.8%
7 7539
10.1%
5 7275
9.7%
0 6946
9.3%
4 6546
8.8%
8 5227
7.0%
6 5015
6.7%
9 4298
 
5.7%
Space Separator
ValueCountFrequency (%)
551655
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9060
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1465
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1465
100.0%
Math Symbol
ValueCountFrequency (%)
+ 337
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 11
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4249911
84.7%
Common 765616
 
15.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 412346
 
9.7%
E 408546
 
9.6%
R 299532
 
7.0%
I 289512
 
6.8%
O 286584
 
6.7%
N 279206
 
6.6%
S 275782
 
6.5%
T 247632
 
5.8%
C 232708
 
5.5%
L 214089
 
5.0%
Other values (42) 1303974
30.7%
Common
ValueCountFrequency (%)
551655
72.1%
' 41729
 
5.5%
. 24413
 
3.2%
& 21626
 
2.8%
, 17302
 
2.3%
# 15178
 
2.0%
2 11341
 
1.5%
1 11064
 
1.4%
3 9559
 
1.2%
- 9060
 
1.2%
Other values (21) 52689
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5015527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
551655
 
11.0%
A 412346
 
8.2%
E 408546
 
8.1%
R 299532
 
6.0%
I 289512
 
5.8%
O 286584
 
5.7%
N 279206
 
5.6%
S 275782
 
5.5%
T 247632
 
4.9%
C 232708
 
4.6%
Other values (73) 1732024
34.5%
Distinct30627
Distinct (%)11.5%
Missing2471
Missing (%)0.9%
Memory size2.0 MiB
2024-02-21T21:33:09.584488image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length79
Median length49
Mean length17.914931
Min length2

Characters and Unicode

Total characters4752473
Distinct characters87
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5783 ?
Unique (%)2.2%

Sample

1st rowHOLY SMOQUES BBQ
2nd rowSMALL CHEVAL
3rd rowBARTOLI'S PIZZERIA
4th rowSEASHELL
5th rowJ & J FISH & CHICKEN
ValueCountFrequency (%)
24623
 
3.2%
restaurant 14781
 
1.9%
inc 12551
 
1.6%
food 11144
 
1.4%
the 10549
 
1.4%
cafe 9476
 
1.2%
grill 7462
 
1.0%
school 6925
 
0.9%
pizza 6614
 
0.9%
la 6337
 
0.8%
Other values (18276) 658436
85.6%
2024-02-21T21:33:10.032473image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509713
 
10.7%
A 402141
 
8.5%
E 397977
 
8.4%
R 288312
 
6.1%
O 274447
 
5.8%
S 268924
 
5.7%
I 264031
 
5.6%
N 256321
 
5.4%
T 239553
 
5.0%
C 206810
 
4.4%
Other values (77) 1644244
34.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3884996
81.7%
Space Separator 509713
 
10.7%
Lowercase Letter 182405
 
3.8%
Other Punctuation 104726
 
2.2%
Decimal Number 52447
 
1.1%
Dash Punctuation 8805
 
0.2%
Open Punctuation 4485
 
0.1%
Close Punctuation 4463
 
0.1%
Math Symbol 371
 
< 0.1%
Connector Punctuation 31
 
< 0.1%
Other values (3) 31
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 22955
12.6%
a 19535
10.7%
o 15200
 
8.3%
n 14434
 
7.9%
r 14092
 
7.7%
i 12857
 
7.0%
l 12102
 
6.6%
t 11108
 
6.1%
s 9066
 
5.0%
c 7329
 
4.0%
Other values (17) 43727
24.0%
Uppercase Letter
ValueCountFrequency (%)
A 402141
 
10.4%
E 397977
 
10.2%
R 288312
 
7.4%
O 274447
 
7.1%
S 268924
 
6.9%
I 264031
 
6.8%
N 256321
 
6.6%
T 239553
 
6.2%
C 206810
 
5.3%
L 201386
 
5.2%
Other values (16) 1085094
27.9%
Other Punctuation
ValueCountFrequency (%)
' 42791
40.9%
& 20852
19.9%
. 14745
 
14.1%
# 9164
 
8.8%
/ 8037
 
7.7%
, 7986
 
7.6%
@ 738
 
0.7%
! 283
 
0.3%
? 47
 
< 0.1%
: 33
 
< 0.1%
Other values (3) 50
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 8996
17.2%
2 8034
15.3%
3 6972
13.3%
7 5640
10.8%
5 4883
9.3%
4 4725
9.0%
0 4486
8.6%
6 3163
 
6.0%
8 2990
 
5.7%
9 2558
 
4.9%
Open Punctuation
ValueCountFrequency (%)
( 4480
99.9%
[ 5
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4458
99.9%
] 5
 
0.1%
Space Separator
ValueCountFrequency (%)
509713
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8805
100.0%
Math Symbol
ValueCountFrequency (%)
+ 371
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%
Other Number
ValueCountFrequency (%)
½ 24
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4067401
85.6%
Common 685072
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 402141
 
9.9%
E 397977
 
9.8%
R 288312
 
7.1%
O 274447
 
6.7%
S 268924
 
6.6%
I 264031
 
6.5%
N 256321
 
6.3%
T 239553
 
5.9%
C 206810
 
5.1%
L 201386
 
5.0%
Other values (43) 1267499
31.2%
Common
ValueCountFrequency (%)
509713
74.4%
' 42791
 
6.2%
& 20852
 
3.0%
. 14745
 
2.2%
# 9164
 
1.3%
1 8996
 
1.3%
- 8805
 
1.3%
/ 8037
 
1.2%
2 8034
 
1.2%
, 7986
 
1.2%
Other values (24) 45949
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4752401
> 99.9%
None 72
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
509713
 
10.7%
A 402141
 
8.5%
E 397977
 
8.4%
R 288312
 
6.1%
O 274447
 
5.8%
S 268924
 
5.7%
I 264031
 
5.6%
N 256321
 
5.4%
T 239553
 
5.0%
C 206810
 
4.4%
Other values (74) 1644172
34.6%
None
ValueCountFrequency (%)
½ 24
33.3%
¿ 24
33.3%
ï 24
33.3%

License #
Real number (ℝ)

Distinct44526
Distinct (%)16.6%
Missing18
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1721965
Minimum0
Maximum9999999
Zeros692
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.0 MiB
2024-02-21T21:33:10.198739image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17602
Q11336926
median2048786
Q32369214
95-th percentile2766692
Maximum9999999
Range9999999
Interquartile range (IQR)1032288

Descriptive statistics

Standard deviation927107.12
Coefficient of variation (CV)0.53840066
Kurtosis-0.4260346
Mean1721965
Median Absolute Deviation (MAD)420481
Skewness-0.89674014
Sum4.6102686 × 1011
Variance8.595276 × 1011
MonotonicityNot monotonic
2024-02-21T21:33:10.353710image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 692
 
0.3%
1354323 198
 
0.1%
14616 181
 
0.1%
1574001 86
 
< 0.1%
60184 64
 
< 0.1%
2083833 62
 
< 0.1%
1974745 59
 
< 0.1%
1142451 59
 
< 0.1%
1884255 55
 
< 0.1%
1596210 54
 
< 0.1%
Other values (44516) 266223
99.4%
ValueCountFrequency (%)
0 692
0.3%
1 1
 
< 0.1%
2 17
 
< 0.1%
9 15
 
< 0.1%
40 21
 
< 0.1%
43 1
 
< 0.1%
62 18
 
< 0.1%
85 5
 
< 0.1%
99 13
 
< 0.1%
104 1
 
< 0.1%
ValueCountFrequency (%)
9999999 1
 
< 0.1%
8700606 3
< 0.1%
5852857 1
 
< 0.1%
4076132 2
< 0.1%
4075924 2
< 0.1%
4075688 1
 
< 0.1%
4075628 2
< 0.1%
4075597 1
 
< 0.1%
4075446 1
 
< 0.1%
4075357 2
< 0.1%

Facility Type
Text

MISSING 

Distinct513
Distinct (%)0.2%
Missing5119
Missing (%)1.9%
Memory size2.0 MiB
2024-02-21T21:33:10.497907image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length47
Median length10
Mean length11.105041
Min length3

Characters and Unicode

Total characters2916539
Distinct characters69
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)< 0.1%

Sample

1st rowRestaurant
2nd rowRestaurant
3rd rowRestaurant
4th rowRestaurant
5th rowRestaurant
ValueCountFrequency (%)
restaurant 179982
50.6%
store 33670
 
9.5%
grocery 33531
 
9.4%
school 17352
 
4.9%
daycare 7841
 
2.2%
2 7030
 
2.0%
years 7027
 
2.0%
facility 5875
 
1.7%
services 5811
 
1.6%
children's 5727
 
1.6%
Other values (445) 52142
 
14.6%
2024-02-21T21:33:10.792381image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 403490
13.8%
a 403275
13.8%
r 328247
11.3%
e 308801
10.6%
s 203023
7.0%
n 201445
6.9%
R 185107
 
6.3%
u 181398
 
6.2%
o 118560
 
4.1%
93370
 
3.2%
Other values (59) 489823
16.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2410697
82.7%
Uppercase Letter 381158
 
13.1%
Space Separator 93370
 
3.2%
Decimal Number 13505
 
0.5%
Other Punctuation 6629
 
0.2%
Close Punctuation 3877
 
0.1%
Open Punctuation 3877
 
0.1%
Dash Punctuation 3423
 
0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 185107
48.6%
S 60776
 
15.9%
G 35423
 
9.3%
C 13101
 
3.4%
D 10425
 
2.7%
F 8713
 
2.3%
A 8254
 
2.2%
Y 8166
 
2.1%
T 7034
 
1.8%
E 5932
 
1.6%
Other values (16) 38227
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
t 403490
16.7%
a 403275
16.7%
r 328247
13.6%
e 308801
12.8%
s 203023
8.4%
n 201445
8.4%
u 181398
7.5%
o 118560
 
4.9%
c 70776
 
2.9%
y 50887
 
2.1%
Other values (14) 140795
 
5.8%
Decimal Number
ValueCountFrequency (%)
2 7156
53.0%
6 3852
28.5%
1 841
 
6.2%
5 728
 
5.4%
8 703
 
5.2%
0 109
 
0.8%
3 98
 
0.7%
4 16
 
0.1%
7 2
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
' 5816
87.7%
/ 743
 
11.2%
& 42
 
0.6%
. 22
 
0.3%
, 6
 
0.1%
Space Separator
ValueCountFrequency (%)
93370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3877
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3423
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2791855
95.7%
Common 124684
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 403490
14.5%
a 403275
14.4%
r 328247
11.8%
e 308801
11.1%
s 203023
7.3%
n 201445
7.2%
R 185107
6.6%
u 181398
6.5%
o 118560
 
4.2%
c 70776
 
2.5%
Other values (40) 387733
13.9%
Common
ValueCountFrequency (%)
93370
74.9%
2 7156
 
5.7%
' 5816
 
4.7%
) 3877
 
3.1%
( 3877
 
3.1%
6 3852
 
3.1%
- 3423
 
2.7%
1 841
 
0.7%
/ 743
 
0.6%
5 728
 
0.6%
Other values (9) 1001
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2916539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 403490
13.8%
a 403275
13.8%
r 328247
11.3%
e 308801
10.6%
s 203023
7.0%
n 201445
6.9%
R 185107
 
6.3%
u 181398
 
6.2%
o 118560
 
4.1%
93370
 
3.2%
Other values (59) 489823
16.8%

Risk
Categorical

Distinct4
Distinct (%)< 0.1%
Missing82
Missing (%)< 0.1%
Memory size2.0 MiB
Risk 1 (High)
196229 
Risk 2 (Medium)
49583 
Risk 3 (Low)
21801 
All
 
56

Length

Max length15
Median length13
Mean length13.28694
Min length3

Characters and Unicode

Total characters3556502
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRisk 1 (High)
2nd rowRisk 1 (High)
3rd rowRisk 1 (High)
4th rowRisk 2 (Medium)
5th rowRisk 1 (High)

Common Values

ValueCountFrequency (%)
Risk 1 (High) 196229
73.3%
Risk 2 (Medium) 49583
 
18.5%
Risk 3 (Low) 21801
 
8.1%
All 56
 
< 0.1%
(Missing) 82
 
< 0.1%

Length

2024-02-21T21:33:10.927875image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:33:11.039554image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
risk 267613
33.3%
1 196229
24.4%
high 196229
24.4%
2 49583
 
6.2%
medium 49583
 
6.2%
3 21801
 
2.7%
low 21801
 
2.7%
all 56
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
535226
15.0%
i 513425
14.4%
R 267613
7.5%
s 267613
7.5%
k 267613
7.5%
( 267613
7.5%
) 267613
7.5%
1 196229
 
5.5%
H 196229
 
5.5%
g 196229
 
5.5%
Other values (13) 581099
16.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1683155
47.3%
Uppercase Letter 535282
 
15.1%
Space Separator 535226
 
15.0%
Open Punctuation 267613
 
7.5%
Close Punctuation 267613
 
7.5%
Decimal Number 267613
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 513425
30.5%
s 267613
15.9%
k 267613
15.9%
g 196229
 
11.7%
h 196229
 
11.7%
d 49583
 
2.9%
m 49583
 
2.9%
u 49583
 
2.9%
e 49583
 
2.9%
o 21801
 
1.3%
Other values (2) 21913
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
R 267613
50.0%
H 196229
36.7%
M 49583
 
9.3%
L 21801
 
4.1%
A 56
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 196229
73.3%
2 49583
 
18.5%
3 21801
 
8.1%
Space Separator
ValueCountFrequency (%)
535226
100.0%
Open Punctuation
ValueCountFrequency (%)
( 267613
100.0%
Close Punctuation
ValueCountFrequency (%)
) 267613
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2218437
62.4%
Common 1338065
37.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 513425
23.1%
R 267613
12.1%
s 267613
12.1%
k 267613
12.1%
H 196229
 
8.8%
g 196229
 
8.8%
h 196229
 
8.8%
d 49583
 
2.2%
m 49583
 
2.2%
u 49583
 
2.2%
Other values (7) 164737
 
7.4%
Common
ValueCountFrequency (%)
535226
40.0%
( 267613
20.0%
) 267613
20.0%
1 196229
 
14.7%
2 49583
 
3.7%
3 21801
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3556502
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
535226
15.0%
i 513425
14.4%
R 267613
7.5%
s 267613
7.5%
k 267613
7.5%
( 267613
7.5%
) 267613
7.5%
1 196229
 
5.5%
H 196229
 
5.5%
g 196229
 
5.5%
Other values (13) 581099
16.3%
Distinct19645
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
2024-02-21T21:33:11.267522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length52
Median length40
Mean length18.610395
Min length1

Characters and Unicode

Total characters4982952
Distinct characters72
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2050 ?
Unique (%)0.8%

Sample

1st row2524 S CALIFORNIA AVE
2nd row1307-1309 E 53RD ST
3rd row658 N ASHLAND AVE
4th row3944 W ROOSEVELT RD
5th row6814 S STONY ISLAND AVE
ValueCountFrequency (%)
ave 123998
 
11.4%
w 106371
 
9.8%
st 97068
 
8.9%
n 80270
 
7.4%
s 59381
 
5.5%
e 21675
 
2.0%
rd 15973
 
1.5%
clark 9483
 
0.9%
western 6764
 
0.6%
halsted 6705
 
0.6%
Other values (8742) 557903
51.4%
2024-02-21T21:33:11.679488image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1086045
21.8%
E 303670
 
6.1%
A 288037
 
5.8%
S 245610
 
4.9%
N 209153
 
4.2%
T 205102
 
4.1%
1 201738
 
4.0%
0 163844
 
3.3%
R 159152
 
3.2%
W 155889
 
3.1%
Other values (62) 1964712
39.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2571750
51.6%
Decimal Number 1200025
24.1%
Space Separator 1086045
21.8%
Lowercase Letter 86734
 
1.7%
Dash Punctuation 26108
 
0.5%
Close Punctuation 5517
 
0.1%
Open Punctuation 5517
 
0.1%
Other Punctuation 1253
 
< 0.1%
Math Symbol 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 303670
11.8%
A 288037
11.2%
S 245610
 
9.6%
N 209153
 
8.1%
T 205102
 
8.0%
R 159152
 
6.2%
W 155889
 
6.1%
V 149526
 
5.8%
L 123780
 
4.8%
O 111597
 
4.3%
Other values (16) 620234
24.1%
Lowercase Letter
ValueCountFrequency (%)
a 9763
11.3%
e 9147
10.5%
t 7894
9.1%
n 7573
8.7%
r 7298
8.4%
o 6604
 
7.6%
i 6348
 
7.3%
l 6148
 
7.1%
h 4226
 
4.9%
s 3553
 
4.1%
Other values (15) 18180
21.0%
Decimal Number
ValueCountFrequency (%)
1 201738
16.8%
0 163844
13.7%
2 146311
12.2%
3 145319
12.1%
5 139641
11.6%
4 120776
10.1%
6 88387
7.4%
7 74438
 
6.2%
8 59820
 
5.0%
9 59751
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 721
57.5%
. 369
29.4%
& 133
 
10.6%
' 27
 
2.2%
# 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1086045
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5517
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5517
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2658484
53.4%
Common 2324468
46.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 303670
11.4%
A 288037
10.8%
S 245610
 
9.2%
N 209153
 
7.9%
T 205102
 
7.7%
R 159152
 
6.0%
W 155889
 
5.9%
V 149526
 
5.6%
L 123780
 
4.7%
O 111597
 
4.2%
Other values (41) 706968
26.6%
Common
ValueCountFrequency (%)
1086045
46.7%
1 201738
 
8.7%
0 163844
 
7.0%
2 146311
 
6.3%
3 145319
 
6.3%
5 139641
 
6.0%
4 120776
 
5.2%
6 88387
 
3.8%
7 74438
 
3.2%
8 59820
 
2.6%
Other values (11) 98149
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4982952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1086045
21.8%
E 303670
 
6.1%
A 288037
 
5.8%
S 245610
 
4.9%
N 209153
 
4.2%
T 205102
 
4.1%
1 201738
 
4.0%
0 163844
 
3.3%
R 159152
 
3.2%
W 155889
 
3.1%
Other values (62) 1964712
39.4%

City
Text

Distinct79
Distinct (%)< 0.1%
Missing161
Missing (%)0.1%
Memory size2.0 MiB
2024-02-21T21:33:11.838826image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length20
Median length7
Mean length7.0028252
Min length2

Characters and Unicode

Total characters1873886
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)< 0.1%

Sample

1st rowCHICAGO
2nd rowCHICAGO
3rd rowCHICAGO
4th rowCHICAGO
5th rowCHICAGO
ValueCountFrequency (%)
chicago 267273
99.8%
cchicago 55
 
< 0.1%
schaumburg 28
 
< 0.1%
park 19
 
< 0.1%
evanston 18
 
< 0.1%
maywood 16
 
< 0.1%
grove 14
 
< 0.1%
niles 14
 
< 0.1%
elk 13
 
< 0.1%
village 13
 
< 0.1%
Other values (80) 219
 
0.1%
2024-02-21T21:33:12.288726image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 534183
28.5%
A 266974
14.2%
I 266937
14.2%
O 266936
14.2%
H 266898
14.2%
G 266872
14.2%
c 721
 
< 0.1%
o 581
 
< 0.1%
i 580
 
< 0.1%
a 580
 
< 0.1%
Other values (34) 2624
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1870168
99.8%
Lowercase Letter 3609
 
0.2%
Space Separator 92
 
< 0.1%
Decimal Number 12
 
< 0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 534183
28.6%
A 266974
14.3%
I 266937
14.3%
O 266936
14.3%
H 266898
14.3%
G 266872
14.3%
E 213
 
< 0.1%
L 146
 
< 0.1%
R 145
 
< 0.1%
S 122
 
< 0.1%
Other values (15) 742
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
c 721
20.0%
o 581
16.1%
i 580
16.1%
a 580
16.1%
g 579
16.0%
h 558
15.5%
d 2
 
0.1%
r 2
 
0.1%
e 1
 
< 0.1%
y 1
 
< 0.1%
Other values (4) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 4
33.3%
1 4
33.3%
2 4
33.3%
Space Separator
ValueCountFrequency (%)
92
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1873777
> 99.9%
Common 109
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 534183
28.5%
A 266974
14.2%
I 266937
14.2%
O 266936
14.2%
H 266898
14.2%
G 266872
14.2%
c 721
 
< 0.1%
o 581
 
< 0.1%
i 580
 
< 0.1%
a 580
 
< 0.1%
Other values (29) 2515
 
0.1%
Common
ValueCountFrequency (%)
92
84.4%
. 5
 
4.6%
3 4
 
3.7%
1 4
 
3.7%
2 4
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1873886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 534183
28.5%
A 266974
14.2%
I 266937
14.2%
O 266936
14.2%
H 266898
14.2%
G 266872
14.2%
c 721
 
< 0.1%
o 581
 
< 0.1%
i 580
 
< 0.1%
a 580
 
< 0.1%
Other values (34) 2624
 
0.1%

State
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing59
Missing (%)< 0.1%
Memory size2.0 MiB
IL
267681 
IN
 
7
CA
 
2
WI
 
1
NY
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters535384
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowIL
2nd rowIL
3rd rowIL
4th rowIL
5th rowIL

Common Values

ValueCountFrequency (%)
IL 267681
> 99.9%
IN 7
 
< 0.1%
CA 2
 
< 0.1%
WI 1
 
< 0.1%
NY 1
 
< 0.1%
(Missing) 59
 
< 0.1%

Length

2024-02-21T21:33:12.430895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:33:12.537680image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
il 267681
> 99.9%
in 7
 
< 0.1%
ca 2
 
< 0.1%
wi 1
 
< 0.1%
ny 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
I 267689
50.0%
L 267681
50.0%
N 8
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
W 1
 
< 0.1%
Y 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 535384
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 267689
50.0%
L 267681
50.0%
N 8
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
W 1
 
< 0.1%
Y 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 535384
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 267689
50.0%
L 267681
50.0%
N 8
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
W 1
 
< 0.1%
Y 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 535384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 267689
50.0%
L 267681
50.0%
N 8
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
W 1
 
< 0.1%
Y 1
 
< 0.1%

Zip
Real number (ℝ)

SKEWED 

Distinct121
Distinct (%)< 0.1%
Missing49
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60628.704
Minimum10014
Maximum90504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 MiB
2024-02-21T21:33:12.669869image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum10014
5-th percentile60605
Q160614
median60625
Q360643
95-th percentile60659
Maximum90504
Range80490
Interquartile range (IQR)29

Descriptive statistics

Standard deviation148.81933
Coefficient of variation (CV)0.0024546019
Kurtosis63980.958
Mean60628.704
Median Absolute Deviation (MAD)14
Skewness-111.21264
Sum1.6230425 × 1010
Variance22147.193
MonotonicityNot monotonic
2024-02-21T21:33:12.827224image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60614 9863
 
3.7%
60647 9783
 
3.7%
60657 9077
 
3.4%
60618 8418
 
3.1%
60611 8352
 
3.1%
60622 8187
 
3.1%
60608 8126
 
3.0%
60625 7568
 
2.8%
60607 7351
 
2.7%
60640 7192
 
2.7%
Other values (111) 183785
68.6%
ValueCountFrequency (%)
10014 1
 
< 0.1%
46319 1
 
< 0.1%
46394 1
 
< 0.1%
46410 5
 
< 0.1%
53061 1
 
< 0.1%
60007 13
< 0.1%
60015 2
 
< 0.1%
60018 4
 
< 0.1%
60022 1
 
< 0.1%
60035 3
 
< 0.1%
ValueCountFrequency (%)
90504 1
 
< 0.1%
90067 1
 
< 0.1%
60827 220
 
0.1%
60805 4
 
< 0.1%
60804 9
 
< 0.1%
60803 3
 
< 0.1%
60714 7
 
< 0.1%
60707 1542
0.6%
60706 4
 
< 0.1%
60666 3336
1.2%
Distinct3566
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
Minimum2010-01-04 00:00:00
Maximum2024-02-16 00:00:00
2024-02-21T21:33:12.985783image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:13.137617image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct110
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size2.0 MiB
2024-02-21T21:33:13.267699image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length41
Median length7
Mean length10.646088
Min length3

Characters and Unicode

Total characters2850490
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)< 0.1%

Sample

1st rowLicense Re-Inspection
2nd rowCanvass
3rd rowCanvass Re-Inspection
4th rowComplaint
5th rowCanvass Re-Inspection
ValueCountFrequency (%)
canvass 168648
49.3%
re-inspection 51856
 
15.1%
license 47253
 
13.8%
complaint 44315
 
12.9%
short 8426
 
2.5%
form 8426
 
2.5%
non-inspection 2830
 
0.8%
suspected 1190
 
0.3%
food 1190
 
0.3%
poisoning 1190
 
0.3%
Other values (122) 7061
 
2.1%
2024-02-21T21:33:13.585808image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 445272
15.6%
a 384938
13.5%
n 378909
13.3%
C 214083
 
7.5%
e 208370
 
7.3%
v 169376
 
5.9%
i 152015
 
5.3%
o 127763
 
4.5%
t 111764
 
3.9%
c 105626
 
3.7%
Other values (51) 552374
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2320283
81.4%
Uppercase Letter 398542
 
14.0%
Space Separator 74635
 
2.6%
Dash Punctuation 55633
 
2.0%
Decimal Number 1245
 
< 0.1%
Close Punctuation 67
 
< 0.1%
Open Punctuation 66
 
< 0.1%
Other Punctuation 19
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 445272
19.2%
a 384938
16.6%
n 378909
16.3%
e 208370
9.0%
v 169376
 
7.3%
i 152015
 
6.6%
o 127763
 
5.5%
t 111764
 
4.8%
c 105626
 
4.6%
p 101047
 
4.4%
Other values (13) 135203
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 214083
53.7%
I 55013
 
13.8%
R 53042
 
13.3%
L 48211
 
12.1%
F 10926
 
2.7%
S 9884
 
2.5%
N 3062
 
0.8%
T 1585
 
0.4%
P 1296
 
0.3%
O 441
 
0.1%
Other values (13) 999
 
0.3%
Decimal Number
ValueCountFrequency (%)
4 359
28.8%
1 313
25.1%
7 306
24.6%
5 255
20.5%
8 5
 
0.4%
0 5
 
0.4%
6 1
 
0.1%
3 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 15
78.9%
. 3
 
15.8%
' 1
 
5.3%
Space Separator
ValueCountFrequency (%)
74635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55633
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2718825
95.4%
Common 131665
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 445272
16.4%
a 384938
14.2%
n 378909
13.9%
C 214083
7.9%
e 208370
7.7%
v 169376
 
6.2%
i 152015
 
5.6%
o 127763
 
4.7%
t 111764
 
4.1%
c 105626
 
3.9%
Other values (36) 420709
15.5%
Common
ValueCountFrequency (%)
74635
56.7%
- 55633
42.3%
4 359
 
0.3%
1 313
 
0.2%
7 306
 
0.2%
5 255
 
0.2%
) 67
 
0.1%
( 66
 
0.1%
/ 15
 
< 0.1%
8 5
 
< 0.1%
Other values (5) 11
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2850490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 445272
15.6%
a 384938
13.5%
n 378909
13.3%
C 214083
 
7.5%
e 208370
 
7.3%
v 169376
 
5.9%
i 152015
 
5.3%
o 127763
 
4.5%
t 111764
 
3.9%
c 105626
 
3.7%
Other values (51) 552374
19.4%

Results
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
Pass
137862 
Fail
52312 
Pass w/ Conditions
40768 
Out of Business
22623 
No Entry
 
10699
Other values (2)
 
3487

Length

Max length20
Median length4
Mean length7.2895563
Min length4

Characters and Unicode

Total characters1951786
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPass
2nd rowPass
3rd rowPass
4th rowFail
5th rowPass

Common Values

ValueCountFrequency (%)
Pass 137862
51.5%
Fail 52312
 
19.5%
Pass w/ Conditions 40768
 
15.2%
Out of Business 22623
 
8.4%
No Entry 10699
 
4.0%
Not Ready 3401
 
1.3%
Business Not Located 86
 
< 0.1%

Length

2024-02-21T21:33:13.748151image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-21T21:33:13.896213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
pass 178630
43.7%
fail 52312
 
12.8%
w 40768
 
10.0%
conditions 40768
 
10.0%
business 22709
 
5.6%
out 22623
 
5.5%
of 22623
 
5.5%
no 10699
 
2.6%
entry 10699
 
2.6%
not 3487
 
0.9%
Other values (2) 3487
 
0.9%

Most occurring characters

ValueCountFrequency (%)
s 466155
23.9%
a 234429
12.0%
P 178630
 
9.2%
i 156557
 
8.0%
141054
 
7.2%
o 118431
 
6.1%
n 114944
 
5.9%
t 77663
 
4.0%
l 52312
 
2.7%
F 52312
 
2.7%
Other values (16) 359299
18.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1424550
73.0%
Uppercase Letter 345414
 
17.7%
Space Separator 141054
 
7.2%
Other Punctuation 40768
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 466155
32.7%
a 234429
16.5%
i 156557
 
11.0%
o 118431
 
8.3%
n 114944
 
8.1%
t 77663
 
5.5%
l 52312
 
3.7%
u 45332
 
3.2%
d 44255
 
3.1%
w 40768
 
2.9%
Other values (5) 73704
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
P 178630
51.7%
F 52312
 
15.1%
C 40768
 
11.8%
B 22709
 
6.6%
O 22623
 
6.5%
N 14186
 
4.1%
E 10699
 
3.1%
R 3401
 
1.0%
L 86
 
< 0.1%
Space Separator
ValueCountFrequency (%)
141054
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 40768
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1769964
90.7%
Common 181822
 
9.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 466155
26.3%
a 234429
13.2%
P 178630
 
10.1%
i 156557
 
8.8%
o 118431
 
6.7%
n 114944
 
6.5%
t 77663
 
4.4%
l 52312
 
3.0%
F 52312
 
3.0%
u 45332
 
2.6%
Other values (14) 273199
15.4%
Common
ValueCountFrequency (%)
141054
77.6%
/ 40768
 
22.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1951786
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 466155
23.9%
a 234429
12.0%
P 178630
 
9.2%
i 156557
 
8.0%
141054
 
7.2%
o 118431
 
6.1%
n 114944
 
5.9%
t 77663
 
4.0%
l 52312
 
2.7%
F 52312
 
2.7%
Other values (16) 359299
18.4%

Violations
Text

MISSING 

Distinct193077
Distinct (%)99.3%
Missing73407
Missing (%)27.4%
Memory size2.0 MiB
2024-02-21T21:33:14.290905image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length11620
Median length5021
Mean length1221.1646
Min length30

Characters and Unicode

Total characters237326004
Distinct characters100
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192163 ?
Unique (%)98.9%

Sample

1st row58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE CITY OF CHICAGO FOOD SERVICE SANITATION MANAGER WITHOUT ALLERGEN TRAINING. INSTRUCTED TO MEET REQUIREMENT.
2nd row53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: INSTRUCTED MANAGER TO PROVIDE AND MAINTAIN SMALL GARBAGE CAN WITH LID IN THE UNISEX WASHROOMS AS REQUIRED. | 56. ADEQUATE VENTILATION & LIGHTING; DESIGNATED AREAS USED - Comments: OBSERVED THE FILTERS ABOVE THE FLAT TOP GRILL DIRTY. MUST CLEAN AND MAINTAIN.
3rd row1. PERSON IN CHARGE PRESENT, DEMONSTRATES KNOWLEDGE, AND PERFORMS DUTIES - Comments: OBSERVED NO CITY OF CHICAGO CERTIFIED FOOD MANAGER ON SITE DURING THE TIME OF INSPECTION | 2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: OBSERVED NO CITY OF CHICAGO CERTIFIED FOOD MANAGER ON SITE DURING THE TIME OF INSPECTION WHILE PREPARING AND SERVING TCS FOODS (GYROS, CHICKEN, ITALIAN BEEF, SLICED TOMATO, NACHO CHEESE). INSTRUCTED TO PROVIDE AT LEAST ONE ON-SITE WHILE OPEN AND OPERATING. MUST MAINTAIN. #7-38-012. CITATION ISSUED. | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HAND CLEANSER AVAILABLE AT HANDSINK LOCATED IN (IN USE) FRONT PREP, REAR PREP OR UNISEX TOILET ROOM. INSTRUCTED TO PROVIDE AND MAINTAIN PROPER HANDWASHING. PRIORITY FOUNDATION VIOLATION. #7-38-030 (c). CITATION. | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED REAR HANDSINK BASIN FILLED WITH POTS, SOILED UTENSILS, SCRUBBING PADS AND SOILED TOWELS. INSTRUCTED TO REMOVE ALL SAID ITEMS AND USE HANDSHINK FOR HANDWASHING PURPOSES ONLY. PRIORITY FOUNDATION VIOLATION. #7-38-030 (c). CITATION ISSUED. | 36. THERMOMETERS PROVIDED & ACCURATE - Comments: MISSING THERMOMETERS IN ALL COOLING UNITS ON THE PREMISES. INSTRUCTED TO PROVIDE AND MAINTAIN. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED EVIDENCE OF PEST ACTIVITY ON SITE... NOTED APPROXIMATELY 12 SMALL BLACK LIVE FLIES FLING THROUGHOUT FRONT AND REAR PREP AREAS AND ON EXTERIOR EQUIPMENT SURFACES. APPROXIMATELY 100 SMALL RODENT DROPPINGS ON THE PREMISES IN THE FOLLOWING AREAS... FRONT PREP AREA SCATTERED ON FLOOR NEXT TO BREADING STATION AND UNDERNEATH 2 DOOR COOLING UNIT, UNDERNEATH ALL FRYERS AND ALONGSIDE WINDOWSILL FRONT PREP, REAR PREP/DISHWASHING AREA UNDERNEATH 3 COMPARTMENT SINK, REAR STORAGE UNDER SHELVING UNITS, ALONG BOTH SIDES MOP SINK. INSTRUCTED TO REMOVE DROPPINGS, SANITIZE AFFECTED AREAS, AND CONTACT PEST CONTROL FOR SERVICE. MUST ELIMINATE PEST ACTIVITY ON SITE. PRIORITY FOUNDATION VIOLATION. 7-38-020 (A). CITATION ISSUED. | 48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED NO CHEMICAL TEST STRIPS ON SITE DURING THE TIME OF INSPECTION FOR TESTING SANITIZING SOLUTION STRENGTH AT THE 3-COMPARTMENT SINK. INSTRUCTED TO PROVIDE. PRIORITY FOUNDATION VIOLATION. #7-38-005. CITATION ISSUED. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED ALL HEAVY EQUIPMENT ON THE PREMISES WITH EXCESSIVE AMOUNTS OF DRIED FOOD DEBRIS AND FOOD SPLATTER ON INTERIOR AND EXTERIOR SURFACES. INSTRUCTED TO CLEAN AND MAINTAIN FREE OF ACCUMULATED FOOD RESIDUE. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED NO COVERED RECEPTACLE IN UNISEX TOILET ROOM. INSTRUCTED TO PROVIDE. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED ALL PLUMBING FIXTURES IN TOILET ROOM IN NEED OF CLEANING.INSTRUCTED TO PROVIDE AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED EXCESSIVE TRASH, FOOD DEBRIS, FLOUR AND GREASE DEBRIS ON FLOORS THROUGHOUT FRONT PREP AREA UNDER ALL HEAVY EQUIPMENT. ALSO NOTED POOLED BLOOD AND CHICKEN PIECES ON WALK IN COOLER FLOORS. INSTRUCTED TO REMOVE, CLEAN AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED CRUMBLING(RED) WALL IN FRONT PREP AREA NEAR WINDOW WHERE CHICKEN/FISH BREADING TAKES PLACE, LARGE HOLE AS WELL AS TORN WALL BASE ON WALL ACROSS FROM WHITE CHESTER FREEZER IN REAR PREP AREA. INSTRUCTED TO REPAIR SAID WALLS TO BE SMOOTH AND EASILY CLEANABLE. | 56. ADEQUATE VENTILATION & LIGHTING; DESIGNATED AREAS USED - Comments: OBSERVED EXCESSIVE BUILD UP OF GREASE ON FILTERS IN HOOD VENTILATION SYSTEM OVER DEEP FRYERS. INSTRUCTED PERSON IN CHARGE TO CLEAN AND MAINTAIN. | 57. ALL FOOD EMPLOYEES HAVE FOOD HANDLER TRAINING - Comments: OBSERVED NO FOOD HANDLER CERTIFICATES ON SITE FOR REVIEW. INSTRUCTED TO PROVIDE. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: NO ALLERGEN TRAINING CERTIFCATE ON SITE FOR REVIEW. INSTRUCTED TO OBATIN AS REQUIRED.
4th row59. PREVIOUS PRIORITY FOUNDATION VIOLATION CORRECTED - Comments: OBSERVED PREVIOUS PRIORITY FOUNDATION VIOLATION NOT CORRECTED WITHIN SPECIFIED TIMEFRAME. REPORT #2589292 DATED FEBRUARY 7 2024 INSTRUCTED FACILITY TO ADDRESS PREVIOUS CORE VIOLATION OF NO GREASE TRAP AT BASEMENT 3 COMPARTMENT SINK. OBSERVED NO GREASE TRAP AT BASEMENT 3 COMPARTMENT SINK. INSTRUCTED MANAGER TO ADDRESS PREVIOUS PRIORITY FOUNDATION VIOLATION. PRIORITY VIOLATION 7-42-090 NO CITATION ISSUED.
5th row49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED RESIDUE ON THE BOTTOM OF TWO-DOOR REACH-IN COOLER. INSTRUCTED PERSON IN CHARGE TO CLEAN AND MAINTAIN.
ValueCountFrequency (%)
1838865
 
5.1%
and 1679218
 
4.7%
comments 899940
 
2.5%
the 828939
 
2.3%
in 754935
 
2.1%
to 705750
 
2.0%
of 647905
 
1.8%
food 630359
 
1.8%
clean 566094
 
1.6%
must 409835
 
1.1%
Other values (196558) 26780291
74.9%
2024-02-21T21:33:14.855895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36337975
15.3%
E 19599115
 
8.3%
N 13660291
 
5.8%
O 13579436
 
5.7%
A 13202316
 
5.6%
T 12856190
 
5.4%
I 12549640
 
5.3%
R 11578300
 
4.9%
S 10536595
 
4.4%
D 9241482
 
3.9%
Other values (90) 84184664
35.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 163518414
68.9%
Space Separator 36337975
 
15.3%
Lowercase Letter 23287895
 
9.8%
Other Punctuation 6965398
 
2.9%
Decimal Number 4168111
 
1.8%
Dash Punctuation 1975917
 
0.8%
Math Symbol 685040
 
0.3%
Open Punctuation 185468
 
0.1%
Close Punctuation 183297
 
0.1%
Currency Symbol 13998
 
< 0.1%
Other values (4) 4491
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2949530
12.7%
n 2314068
9.9%
o 2297146
9.9%
t 2165291
9.3%
m 2091395
9.0%
s 2030018
8.7%
a 1526221
 
6.6%
l 1154964
 
5.0%
i 1135675
 
4.9%
r 986289
 
4.2%
Other values (17) 4637298
19.9%
Uppercase Letter
ValueCountFrequency (%)
E 19599115
12.0%
N 13660291
 
8.4%
O 13579436
 
8.3%
A 13202316
 
8.1%
T 12856190
 
7.9%
I 12549640
 
7.7%
R 11578300
 
7.1%
S 10536595
 
6.4%
D 9241482
 
5.7%
L 7659915
 
4.7%
Other values (16) 39055134
23.9%
Other Punctuation
ValueCountFrequency (%)
. 2994820
43.0%
, 1878621
27.0%
: 1378975
19.8%
& 232853
 
3.3%
/ 232107
 
3.3%
; 116249
 
1.7%
# 59962
 
0.9%
' 52109
 
0.7%
* 15485
 
0.2%
@ 2723
 
< 0.1%
Other values (5) 1494
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
3 890360
21.4%
0 614039
14.7%
5 506794
12.2%
1 498646
12.0%
4 397477
9.5%
2 395999
9.5%
8 310055
 
7.4%
7 280923
 
6.7%
6 167783
 
4.0%
9 106035
 
2.5%
Math Symbol
ValueCountFrequency (%)
| 684645
99.9%
= 292
 
< 0.1%
+ 76
 
< 0.1%
> 18
 
< 0.1%
~ 5
 
< 0.1%
< 4
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 185213
99.9%
[ 243
 
0.1%
{ 12
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 183095
99.9%
] 190
 
0.1%
} 12
 
< 0.1%
Control
ValueCountFrequency (%)
3920
99.9%
 2
 
0.1%
 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 13
81.2%
^ 3
 
18.8%
Space Separator
ValueCountFrequency (%)
36337975
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1975917
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 13998
100.0%
Other Number
ValueCountFrequency (%)
½ 483
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 186806309
78.7%
Common 50519695
 
21.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 19599115
 
10.5%
N 13660291
 
7.3%
O 13579436
 
7.3%
A 13202316
 
7.1%
T 12856190
 
6.9%
I 12549640
 
6.7%
R 11578300
 
6.2%
S 10536595
 
5.6%
D 9241482
 
4.9%
L 7659915
 
4.1%
Other values (43) 62343029
33.4%
Common
ValueCountFrequency (%)
36337975
71.9%
. 2994820
 
5.9%
- 1975917
 
3.9%
, 1878621
 
3.7%
: 1378975
 
2.7%
3 890360
 
1.8%
| 684645
 
1.4%
0 614039
 
1.2%
5 506794
 
1.0%
1 498646
 
1.0%
Other values (37) 2758903
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 237324555
> 99.9%
None 1449
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36337975
15.3%
E 19599115
 
8.3%
N 13660291
 
5.8%
O 13579436
 
5.7%
A 13202316
 
5.6%
T 12856190
 
5.4%
I 12549640
 
5.3%
R 11578300
 
4.9%
S 10536595
 
4.4%
D 9241482
 
3.9%
Other values (87) 84183215
35.5%
None
ValueCountFrequency (%)
ï 483
33.3%
½ 483
33.3%
¿ 483
33.3%

Latitude
Real number (ℝ)

Distinct18215
Distinct (%)6.8%
Missing925
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean41.880696
Minimum41.64467
Maximum42.021064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 MiB
2024-02-21T21:33:15.010910image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum41.64467
5-th percentile41.726853
Q141.83164
median41.891736
Q341.93978
95-th percentile41.997516
Maximum42.021064
Range0.37639412
Interquartile range (IQR)0.10814014

Descriptive statistics

Standard deviation0.081083501
Coefficient of variation (CV)0.0019360591
Kurtosis-0.35567981
Mean41.880696
Median Absolute Deviation (MAD)0.050642108
Skewness-0.58917919
Sum11174859
Variance0.0065745342
MonotonicityNot monotonic
2024-02-21T21:33:15.164489image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.00875077 3291
 
1.2%
41.78932932 768
 
0.3%
41.88418751 597
 
0.2%
41.88199434 586
 
0.2%
41.85045102 584
 
0.2%
41.88743405 480
 
0.2%
41.88458627 377
 
0.1%
41.88807428 369
 
0.1%
41.89209414 368
 
0.1%
41.75466012 342
 
0.1%
Other values (18205) 259064
96.8%
(Missing) 925
 
0.3%
ValueCountFrequency (%)
41.64467013 13
< 0.1%
41.64566748 4
 
< 0.1%
41.64637082 7
< 0.1%
41.64655405 2
 
< 0.1%
41.64818878 9
< 0.1%
41.64863829 6
 
< 0.1%
41.64868838 3
 
< 0.1%
41.64874251 2
 
< 0.1%
41.64881845 3
 
< 0.1%
41.64936399 17
< 0.1%
ValueCountFrequency (%)
42.02106425 25
< 0.1%
42.02086075 16
< 0.1%
42.02080848 16
< 0.1%
42.02075289 7
 
< 0.1%
42.02039924 1
 
< 0.1%
42.02008731 15
< 0.1%
42.01986688 21
< 0.1%
42.01958216 20
< 0.1%
42.019494 5
 
< 0.1%
42.0194929 1
 
< 0.1%

Longitude
Real number (ℝ)

Distinct18215
Distinct (%)6.8%
Missing925
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-87.676329
Minimum-87.906874
Maximum-87.525094
Zeros0
Zeros (%)0.0%
Negative266826
Negative (%)99.7%
Memory size2.0 MiB
2024-02-21T21:33:15.315398image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-87.906874
5-th percentile-87.777776
Q1-87.707517
median-87.666419
Q3-87.634942
95-th percentile-87.599527
Maximum-87.525094
Range0.38178
Interquartile range (IQR)0.072575797

Descriptive statistics

Standard deviation0.058266449
Coefficient of variation (CV)-0.00066456305
Kurtosis2.0957592
Mean-87.676329
Median Absolute Deviation (MAD)0.034451661
Skewness-0.97546595
Sum-23394324
Variance0.003394979
MonotonicityNot monotonic
2024-02-21T21:33:15.468933image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.90687413 3291
 
1.2%
-87.74164564 768
 
0.3%
-87.64111967 597
 
0.2%
-87.63975868 586
 
0.2%
-87.65879786 584
 
0.2%
-87.68184949 480
 
0.2%
-87.63101045 377
 
0.1%
-87.6349552 369
 
0.1%
-87.61156988 368
 
0.1%
-87.74138476 342
 
0.1%
Other values (18205) 259064
96.8%
(Missing) 925
 
0.3%
ValueCountFrequency (%)
-87.90687413 3291
1.2%
-87.90675786 3
 
< 0.1%
-87.90530913 12
 
< 0.1%
-87.88270766 2
 
< 0.1%
-87.86695767 1
 
< 0.1%
-87.86302998 25
 
< 0.1%
-87.86237264 9
 
< 0.1%
-87.84631989 11
 
< 0.1%
-87.84631558 2
 
< 0.1%
-87.8463105 1
 
< 0.1%
ValueCountFrequency (%)
-87.52509414 12
< 0.1%
-87.52512485 17
< 0.1%
-87.52571243 4
 
< 0.1%
-87.5258717 19
< 0.1%
-87.5261364 9
< 0.1%
-87.52664793 20
< 0.1%
-87.52667081 11
< 0.1%
-87.52694018 16
< 0.1%
-87.52749847 2
 
< 0.1%
-87.52770401 3
 
< 0.1%
Distinct18215
Distinct (%)6.8%
Missing925
Missing (%)0.3%
Memory size2.0 MiB
2024-02-21T21:33:15.668534image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length40
Median length39
Mean length39.059649
Min length34

Characters and Unicode

Total characters10422130
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1595 ?
Unique (%)0.6%

Sample

1st row(41.84560861006466, -87.69538780161594)
2nd row(41.799368015121125, -87.59468625684886)
3rd row(41.894208809612294, -87.66738222845791)
4th row(41.86629065519555, -87.72456177467829)
5th row(41.7710280071688, -87.58641718666685)
ValueCountFrequency (%)
42.00875076599798 3291
 
0.6%
87.90687413400109 3291
 
0.6%
41.789329323265385 768
 
0.1%
87.74164564419637 768
 
0.1%
41.884187507127805 597
 
0.1%
87.64111966683218 597
 
0.1%
41.88199433820508 586
 
0.1%
87.6397586848809 586
 
0.1%
41.85045102427 584
 
0.1%
87.65879785567869 584
 
0.1%
Other values (36420) 522000
97.8%
2024-02-21T21:33:16.010253image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1079368
10.4%
7 1072631
10.3%
4 989479
9.5%
1 924788
8.9%
6 906312
8.7%
9 809228
7.8%
5 730762
 
7.0%
2 703163
 
6.7%
3 688983
 
6.6%
0 649634
 
6.2%
Other values (6) 1867782
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8554348
82.1%
Other Punctuation 800478
 
7.7%
Open Punctuation 266826
 
2.6%
Space Separator 266826
 
2.6%
Dash Punctuation 266826
 
2.6%
Close Punctuation 266826
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1079368
12.6%
7 1072631
12.5%
4 989479
11.6%
1 924788
10.8%
6 906312
10.6%
9 809228
9.5%
5 730762
8.5%
2 703163
8.2%
3 688983
8.1%
0 649634
7.6%
Other Punctuation
ValueCountFrequency (%)
. 533652
66.7%
, 266826
33.3%
Open Punctuation
ValueCountFrequency (%)
( 266826
100.0%
Space Separator
ValueCountFrequency (%)
266826
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 266826
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266826
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10422130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1079368
10.4%
7 1072631
10.3%
4 989479
9.5%
1 924788
8.9%
6 906312
8.7%
9 809228
7.8%
5 730762
 
7.0%
2 703163
 
6.7%
3 688983
 
6.6%
0 649634
 
6.2%
Other values (6) 1867782
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10422130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1079368
10.4%
7 1072631
10.3%
4 989479
9.5%
1 924788
8.9%
6 906312
8.7%
9 809228
7.8%
5 730762
 
7.0%
2 703163
 
6.7%
3 688983
 
6.6%
0 649634
 
6.2%
Other values (6) 1867782
17.9%

Interactions

2024-02-21T21:33:05.745026image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:02.658300image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:03.396508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:04.115410image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:04.978434image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:05.896291image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:02.821559image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:03.532903image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:04.256104image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:05.125811image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:06.045917image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:02.956442image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:03.666729image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:04.392038image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:05.267147image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:06.198302image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:03.105047image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:03.823877image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:04.683543image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:05.411460image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:06.348872image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:03.249697image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:03.971717image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:04.830799image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-21T21:33:05.562994image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Missing values

2024-02-21T21:33:06.611730image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-21T21:33:07.122301image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
02589679HOLY SMOQUES BBQHOLY SMOQUES BBQ2948383.0RestaurantRisk 1 (High)2524 S CALIFORNIA AVECHICAGOIL60608.002/15/2024License Re-InspectionPass58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE CITY OF CHICAGO FOOD SERVICE SANITATION MANAGER WITHOUT ALLERGEN TRAINING. INSTRUCTED TO MEET REQUIREMENT.41.845609-87.695388(41.84560861006466, -87.69538780161594)
12589673SMALL CHEVALSMALL CHEVAL2830796.0RestaurantRisk 1 (High)1307-1309 E 53RD STCHICAGOIL60615.002/15/2024CanvassPass53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: INSTRUCTED MANAGER TO PROVIDE AND MAINTAIN SMALL GARBAGE CAN WITH LID IN THE UNISEX WASHROOMS AS REQUIRED. | 56. ADEQUATE VENTILATION & LIGHTING; DESIGNATED AREAS USED - Comments: OBSERVED THE FILTERS ABOVE THE FLAT TOP GRILL DIRTY. MUST CLEAN AND MAINTAIN.41.799368-87.594686(41.799368015121125, -87.59468625684886)
22589681BARTOLI'S PIZZERIABARTOLI'S PIZZERIA2709388.0RestaurantRisk 1 (High)658 N ASHLAND AVECHICAGOIL60622.002/15/2024Canvass Re-InspectionPassNaN41.894209-87.667382(41.894208809612294, -87.66738222845791)
32589674SEASHELLSEASHELL2551804.0RestaurantRisk 2 (Medium)3944 W ROOSEVELT RDCHICAGOIL60624.002/15/2024ComplaintFail1. PERSON IN CHARGE PRESENT, DEMONSTRATES KNOWLEDGE, AND PERFORMS DUTIES - Comments: OBSERVED NO CITY OF CHICAGO CERTIFIED FOOD MANAGER ON SITE DURING THE TIME OF INSPECTION | 2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: OBSERVED NO CITY OF CHICAGO CERTIFIED FOOD MANAGER ON SITE DURING THE TIME OF INSPECTION WHILE PREPARING AND SERVING TCS FOODS (GYROS, CHICKEN, ITALIAN BEEF, SLICED TOMATO, NACHO CHEESE). INSTRUCTED TO PROVIDE AT LEAST ONE ON-SITE WHILE OPEN AND OPERATING. MUST MAINTAIN. #7-38-012. CITATION ISSUED. | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HAND CLEANSER AVAILABLE AT HANDSINK LOCATED IN (IN USE) FRONT PREP, REAR PREP OR UNISEX TOILET ROOM. INSTRUCTED TO PROVIDE AND MAINTAIN PROPER HANDWASHING. PRIORITY FOUNDATION VIOLATION. #7-38-030 (c). CITATION. | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED REAR HANDSINK BASIN FILLED WITH POTS, SOILED UTENSILS, SCRUBBING PADS AND SOILED TOWELS. INSTRUCTED TO REMOVE ALL SAID ITEMS AND USE HANDSHINK FOR HANDWASHING PURPOSES ONLY. PRIORITY FOUNDATION VIOLATION. #7-38-030 (c). CITATION ISSUED. | 36. THERMOMETERS PROVIDED & ACCURATE - Comments: MISSING THERMOMETERS IN ALL COOLING UNITS ON THE PREMISES. INSTRUCTED TO PROVIDE AND MAINTAIN. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED EVIDENCE OF PEST ACTIVITY ON SITE... NOTED APPROXIMATELY 12 SMALL BLACK LIVE FLIES FLING THROUGHOUT FRONT AND REAR PREP AREAS AND ON EXTERIOR EQUIPMENT SURFACES. APPROXIMATELY 100 SMALL RODENT DROPPINGS ON THE PREMISES IN THE FOLLOWING AREAS... FRONT PREP AREA SCATTERED ON FLOOR NEXT TO BREADING STATION AND UNDERNEATH 2 DOOR COOLING UNIT, UNDERNEATH ALL FRYERS AND ALONGSIDE WINDOWSILL FRONT PREP, REAR PREP/DISHWASHING AREA UNDERNEATH 3 COMPARTMENT SINK, REAR STORAGE UNDER SHELVING UNITS, ALONG BOTH SIDES MOP SINK. INSTRUCTED TO REMOVE DROPPINGS, SANITIZE AFFECTED AREAS, AND CONTACT PEST CONTROL FOR SERVICE. MUST ELIMINATE PEST ACTIVITY ON SITE. PRIORITY FOUNDATION VIOLATION. 7-38-020 (A). CITATION ISSUED. | 48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED NO CHEMICAL TEST STRIPS ON SITE DURING THE TIME OF INSPECTION FOR TESTING SANITIZING SOLUTION STRENGTH AT THE 3-COMPARTMENT SINK. INSTRUCTED TO PROVIDE. PRIORITY FOUNDATION VIOLATION. #7-38-005. CITATION ISSUED. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED ALL HEAVY EQUIPMENT ON THE PREMISES WITH EXCESSIVE AMOUNTS OF DRIED FOOD DEBRIS AND FOOD SPLATTER ON INTERIOR AND EXTERIOR SURFACES. INSTRUCTED TO CLEAN AND MAINTAIN FREE OF ACCUMULATED FOOD RESIDUE. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED NO COVERED RECEPTACLE IN UNISEX TOILET ROOM. INSTRUCTED TO PROVIDE. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED ALL PLUMBING FIXTURES IN TOILET ROOM IN NEED OF CLEANING.INSTRUCTED TO PROVIDE AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED EXCESSIVE TRASH, FOOD DEBRIS, FLOUR AND GREASE DEBRIS ON FLOORS THROUGHOUT FRONT PREP AREA UNDER ALL HEAVY EQUIPMENT. ALSO NOTED POOLED BLOOD AND CHICKEN PIECES ON WALK IN COOLER FLOORS. INSTRUCTED TO REMOVE, CLEAN AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED CRUMBLING(RED) WALL IN FRONT PREP AREA NEAR WINDOW WHERE CHICKEN/FISH BREADING TAKES PLACE, LARGE HOLE AS WELL AS TORN WALL BASE ON WALL ACROSS FROM WHITE CHESTER FREEZER IN REAR PREP AREA. INSTRUCTED TO REPAIR SAID WALLS TO BE SMOOTH AND EASILY CLEANABLE. | 56. ADEQUATE VENTILATION & LIGHTING; DESIGNATED AREAS USED - Comments: OBSERVED EXCESSIVE BUILD UP OF GREASE ON FILTERS IN HOOD VENTILATION SYSTEM OVER DEEP FRYERS. INSTRUCTED PERSON IN CHARGE TO CLEAN AND MAINTAIN. | 57. ALL FOOD EMPLOYEES HAVE FOOD HANDLER TRAINING - Comments: OBSERVED NO FOOD HANDLER CERTIFICATES ON SITE FOR REVIEW. INSTRUCTED TO PROVIDE. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: NO ALLERGEN TRAINING CERTIFCATE ON SITE FOR REVIEW. INSTRUCTED TO OBATIN AS REQUIRED.41.866291-87.724562(41.86629065519555, -87.72456177467829)
42589661J & J FISH & CHICKENJ & J FISH & CHICKEN1938693.0RestaurantRisk 1 (High)6814 S STONY ISLAND AVECHICAGOIL60649.002/15/2024Canvass Re-InspectionPassNaN41.771028-87.586417(41.7710280071688, -87.58641718666685)
52589645NOORI CHICKEN CHICAGONOORI CHICKEN CHICAGO2952358.0NaNAll3223 N CLARK STCHICAGOIL60657.002/15/2024LicenseNot ReadyNaN41.940634-87.651057(41.940634346439296, -87.65105735655327)
62589643CURRY ON FIRECURRY ON FIRE2535924.0RestaurantRisk 1 (High)1030 W TAYLOR STCHICAGOIL60607.002/15/2024ComplaintNo EntryNaN41.869597-87.652349(41.86959706650426, -87.6523490175014)
72589633Clemente Comm (H/S)Clemente Comm (H/S)51091.0SchoolRisk 1 (High)1147 N Western AVECHICAGOIL60622.002/15/2024Canvass Re-InspectionFail59. PREVIOUS PRIORITY FOUNDATION VIOLATION CORRECTED - Comments: OBSERVED PREVIOUS PRIORITY FOUNDATION VIOLATION NOT CORRECTED WITHIN SPECIFIED TIMEFRAME. REPORT #2589292 DATED FEBRUARY 7 2024 INSTRUCTED FACILITY TO ADDRESS PREVIOUS CORE VIOLATION OF NO GREASE TRAP AT BASEMENT 3 COMPARTMENT SINK. OBSERVED NO GREASE TRAP AT BASEMENT 3 COMPARTMENT SINK. INSTRUCTED MANAGER TO ADDRESS PREVIOUS PRIORITY FOUNDATION VIOLATION. PRIORITY VIOLATION 7-42-090 NO CITATION ISSUED.41.902623-87.686869(41.90262318255785, -87.68686934199641)
82589639CHIPOTLE MEXICAN GRILL #3651CHIPOTLE2748958.0RestaurantRisk 1 (High)5533 S HARLEM AVECHICAGOIL60638.002/15/2024CanvassPass49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED RESIDUE ON THE BOTTOM OF TWO-DOOR REACH-IN COOLER. INSTRUCTED PERSON IN CHARGE TO CLEAN AND MAINTAIN.41.790889-87.801336(41.790889200425, -87.80133630631802)
92589628BENITO JUAREZ COMMUNITY ACADEMYJUAREZ (H/S)2915819.0SchoolRisk 1 (High)1450-1510 W CERMAK RDCHICAGOIL60608.002/15/2024CanvassPass55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.12 OBSERVED ACCUMULATED DUST DEBRIS ON THE CONDENSER OF THE WALK IN COOLER LOCATED NEXT TO THE HAND WASHING SINK IN THE FOOD PREP AREA AND UNDER THE 3 COMPARTMENT SINK BEHIND THE GREASE TRAP. INSTRUCTED TO CLEAN.41.852496-87.663190(41.852495902869336, -87.66319041556977)
Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
267741158288GREAT HUNNAN RESTAURANTGREAT HUNNAN RESTAURANT1193152.0RestaurantRisk 1 (High)1958 W 35TH STCHICAGOIL60609.001/28/2010Out of BusinessFailNaN41.830500-87.675221(41.83050041795062, -87.67522140471041)
26774280220THAI OSCAR INC.THAI OSCAR INC.1873390.0RestaurantRisk 1 (High)4638 N WESTERN AVECHICAGOIL60625.001/15/2010ComplaintFail18. NO EVIDENCE OF RODENT OR INSECT OUTER OPENINGS PROTECTED/RODENT PROOFED, A WRITTEN LOG SHALL BE MAINTAINED AVAILABLE TO THE INSPECTORS - Comments: All necessary control measures shall be used to effectively minimize or eliminate the presence of rodents, roaches, and other vermin and insects on the premises of all food establishments, in food-transporting vehicles, and in vending machines.//FRONT DOOR NOT RODENT & INSECT PROOF DOOR MEASURED AT 1/4' AT BOTTOM OF DOOR CORNER /LIVE ROCHER IN WOMEN RESTROOM | 30. FOOD IN ORIGINAL CONTAINER, PROPERLY LABELED: CUSTOMER ADVISORY POSTED AS NEEDED - Comments: All food not stored in the original container shall be stored in properly labeled containers.//NAMES DATES TIME OF PREPERATION OF FOOD ON CONTAINER | 31. CLEAN MULTI-USE UTENSILS AND SINGLE SERVICE ARTICLES PROPERLY STORED: NO REUSE OF SINGLE SERVICE ARTICLES - Comments: Containers and utensils shall be inverted, covered, or otherwise protected from contamination until used. All single-service drinking straws and containers shall be discarded immediately after use.//INVERT ALL POTS & PANS IN KITCHEN AREA | 32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair.//REPLACE ALL STAIN & BADLY PITTED CUTTING BOARD IN PREP AREA | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily.//SOME SHELVES IN COOLERS ,DRY STORAGE ,UNDER HOOD OVER COOKINGRANGE NEED DETAIL CLEANING | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair.//FLOORS UNDER AROUND STOCK &EQUIPMENT NEED DETAIL CLEANING | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned.//REPLACE ALL STAIN & POOR REPAIR CEILING TILE IN RESTROOMS MEN & WOMEN RESTROOM/DOOR TO KITCHEN AREA POOR REPAIR | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: The flow of air discharged from kitchen fans shall always be through a duct to a point above the roofline.//MUST REPAIR VENTILATION FAN COVER IN MEN RESTROOM41.965990-87.688972(41.965989980278934, -87.68897226767825)
267743197242SOPRAFFINASOPRAFFINA35095.0RestaurantRisk 1 (High)10 N DEARBORN STCHICAGOIL60602.002/01/2010CanvassPass32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair. SALAD STATION PREP TABLE IN POOR REPAIR, BROKEN VENEER AT TOP SURFACE, INSTRUCTED TO REPAIR | 40. REFRIGERATION AND METAL STEM THERMOMETERS PROVIDED AND CONSPICUOUS - Comments: All food establishments that display, prepare, or store potentially hazardous foods shall have calibrated metal stem thermometers, provided and conspicuous, for refrigerated and hot food units. MUST INSTALL A REFRIGERATION THERMOMETER IN THE WARMEST PART OF COOLER AND CONSPICUOUS.41.882216-87.629556(41.88221569794795, -87.6295562535779)
267744193209APPLEBEE'S NEIGHBORHOOD GRILL & BARAPPLEBEE'S NEIGHBORHOOD GRILL & BAR1477462.0RestaurantRisk 1 (High)7519 S CICERO AVECHICAGOIL60652.001/25/2010Canvass Re-InspectionPassNaN41.755956-87.741433(41.75595600567047, -87.74143262060872)
26774568128DINER GRILLDINER GRILL57105.0RestaurantRisk 1 (High)1635 W IRVING PARK RDCHICAGOIL60613.002/03/2010CanvassPass w/ Conditions3. POTENTIALLY HAZARDOUS FOOD MEETS TEMPERATURE REQUIREMENT DURING STORAGE, PREPARATION DISPLAY AND SERVICE - Comments: All cold food shall be stored at a temperature of 40F or less. FOUND FRESH EGGS STORED UNDER FRONT COUNTER,AT IMPROPER TEMPERATURE 58.6F, AND 60F.FRESH EGGS MUST MAINTAIN TEMPERATURE OF 40F OR BELOW.(90 EACH EGGS), VALUE $5. CRITICAL VIOLATION:7-38-005(A) HOOOO60443-10 | 12. HAND WASHING FACILITIES: WITH SOAP AND SANITARY HAND DRYING DEVICES, CONVENIENT AND ACCESSIBLE TO FOOD PREP AREA - Comments: Adequate and convenient hand washing facilities shall be provided for all employees. FOUND EXPOSED HAND SINKS NOT ACCESSIBLE, IN REAR PREP AREA(SINK WAS FULL OF CLEANING MATERIALS AND POT);FRONT EXPOSED HAND SINK NO SOAP OR PAPER TOWELS, ALSO HOT AND COLD WATER DOESN'T HAVE ENOUGH WATER FLOW.OBSERVED EMPLOYEE WASHING HAND AT 3 COMPARTMENT SINK. TAGGED'HELD FOR INSPECTION' FRONT EXPOSED HAND SINK , INSTRUCTED TO USE REAR EXPOSED HAND SINK ,WHICH ITEMS WAS REMOVED.CRITICAL VIOLATION:7-38-030 HOOOO60443-10. FAX A LETTER WHEN SINK IS FIXED.(FAX #312-746-4240) | 32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair.REPLACE BROKEN RUSTY RUBBER GASKET IN ICE CREAM CHEST FREZEER.REPLACE RUSTY BLADE FROM CAN OPENER. | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily.REMOVE BUILD UP ICE INSIDE THE ICE CREAM CHEST FREEZER. | 36. LIGHTING: REQUIRED MINIMUM FOOT-CANDLES OF LIGHT PROVIDED, FIXTURES SHIELDED - Comments: Shielding to protect against broken glass falling into food shall be provided for all artificial lighting sources in preparation, service, and display facilities.LIGHT SHIELD IS NEEDED AT LIGHT IN FRONT PREP AREA | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: Ventilation: All plumbing fixtures, such as toilets, sinks, washbasins, etc., must be adequately trapped, vented, and re-vented and properly connected to the sewer in accordance with the plumbing chapter of the Municipal Code of Chicago and the Rules and Regulations of the Board of Health.FAUCET IN 3 COMPARTMENT SINK IS LEAKING, ALSO PIPE UNDER 3 COMPARTMENT SINKS. REPAIR LEAKING PIPE ON CEILING IN REAR PREP ARE AND FRONT STORAGE AREA.41.954161-87.670369(41.954161252677814, -87.67036928186604)
267746164285BARNARDBARNARD22131.0SchoolRisk 1 (High)10354 S Charles (1432W)CHICAGOIL60643.001/21/2010CanvassPass34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. FLOORS NEED CLEANING IN BOILER ROOM(STANDING WATER). REPAIR THRESHOLD UNDER BOILER ROOM DOOR. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. SEAL ALL CRACKS AND CREVICES ALONG WALLS AND BASEBOARDS IN KITCHEN AND TEACHERS LOUNGE NEAR SINK. WALLS NEED REPAIR IN KITCHEN, OFFICE/STORAGE AND HALLWAY AREAS BEHIND EQUIPMENT (PEELING PAINT) AND IN WOMEN AND MEN AUDITORIUM WASHROOMS. SEAL ALL OPENINGS AROUND PIPE FITTINGS BEHIND TOILETS AND UNDER SINKS IN ALL WASHROOMS. | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: Ventilation: All plumbing fixtures, such as toilets, sinks, washbasins, etc., must be adequately trapped, vented, and re-vented and properly connected to the sewer in accordance with the plumbing chapter of the Municipal Code of Chicago and the Rules and Regulations of the Board of Health. PROVIDE VENTILATION IN WOMEN'S AUDITORIUM WASHROOM. INCREASE PRESSURE ON ALL WATER FOUNTAINS. REPAIR ALL LEAKS IN BOILER ROOM.41.705140-87.658116(41.70514023786158, -87.65811642455638)
267747124314Dany's Mini MartDanny's Mini Mart2016778.0Grocery StoreRisk 3 (Low)3464 N Pulaski RDCHICAGOIL60641.002/05/2010License Re-InspectionPassNaN41.944569-87.727492(41.94456913331175, -87.72749197013754)
26774898337TAQUERIA EL RANCHITOTAQUERIA EL RANCHITO60184.0RestaurantRisk 1 (High)2829 N MILWAUKEE AVECHICAGOIL60618.001/19/2010Suspected Food PoisoningPass33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily.CLEAN INTERIOR FRONT CABINTS, BEER COOLER, DEFROST BOX FREEZER FRONT, COFFEE DRIP TRAY. CLEAN STOVE, OVEN. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: CLEAN FLOOR THRU OUT REAR PREP, RESEAL BASEMENT FLOOR. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: REPLACE CEILING TILES REAR PREP AREA. | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: SINK NOZZEL LEAKING AT FRONT BAR. INSTRUCTED TO REPAIR. | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: SOME CLUTTER IN BASEMENT INSTRUCTED TO REMOVE ITEMS NOT BEING USED.41.932657-87.713056(41.93265693660558, -87.71305610116421)
267749120283EAST COAST PANTRYEAST COAST PANTRY1892217.0Grocery StoreRisk 2 (Medium)611 S WELLS STCHICAGOIL60607.001/11/2010CanvassPass40. REFRIGERATION AND METAL STEM THERMOMETERS PROVIDED AND CONSPICUOUS - Comments: All food establishments that display, prepare, or store potentially hazardous foods shall have calibrated metal stem thermometers, provided and conspicuous, for refrigerated and hot food units. Place a thermometer in the packaged deli case.41.874243-87.633477(41.874242987183976, -87.63347653027343)
267750124281GAS CENTERGAS CENTER1958643.0Grocery StoreRisk 3 (Low)4409 N CENTRAL AVECHICAGOIL60630.001/20/2010License Re-InspectionPassNaN41.960767-87.767104(41.96076719873542, -87.76710408243011)